This main contents of this book includes the development processes of quantum computers and the basics of quantum computing programming, various deep learning methods and ways to construct quantum-inspired algorithms on these algorithm logics, feasible evaluation methods for different quantum algorithms and the operationalization of quantum neural networks based on Torch.Script, and possible quantum enhancements by incorporating quantum algorithms into the native PyTorch environment of deep learning.